What makes Tech News Digest notable?

2K downloads. Trust evidence available

How should Tech News Digest be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Tech News Digest

Generate tech news digests with unified source model, quality scoring, and multi-format output. Five-layer data collection from RSS feeds, Twitter/X KOLs, Gi... Skill: Tech News Digest Owner: dinstein Summary: Generate tech news digests with unified source model, quality scoring, and multi-format output. Five-layer data collection from RSS feeds, Twitter/X KOLs, Gi... Tags: latest:3.11.0 Version history: v3.11.0 | 2026-02-28T16:22:08.196Z | user Tavily backend, quality scores, domain limit fix, tests, CI v3.10.3 | 2026-02-27T15:46:08.147Z | user Docs alignment + config namin

OpenClaw

View on ClawHub

Rank

Safety

Downloads

2.0k

Updated

Apr 15, 2026

Version

3.11.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2K downloads reported by the source. Last updated 4/15/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Apr 15, 2026
Protocol compatibility: OpenClawcompatibility · observed Apr 15, 2026
Adoption signal: 2K downloadsadoption · observed Apr 15, 2026
Latest release: 3.11.0release · observed Feb 28, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install kn74589cx1nbhnc3x0f3nwre39814699:tech-news-digest

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-dinstein-tech-news-digest/snapshot"

Documentation

CLAWHUB

151,572 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: tech-news-digest
description: Generate tech news digests with unified source model, quality scoring, and multi-format output. Five-layer data collection from RSS feeds, Twitter/X KOLs, GitHub releases, Reddit, and web search. Pipeline-based scripts with retry mechanisms and deduplication. Supports Discord, email, and markdown templates.
version: "3.11.0"
homepage: https://github.com/draco-agent/tech-news-digest
source: https://github.com/draco-agent/tech-news-digest
metadata:
  openclaw:
    requires:
      bins: ["python3"]
    optionalBins: ["mail", "msmtp", "gog", "gh", "openssl", "weasyprint"]
env:
  - name: TWITTER_API_BACKEND
    required: false
    description: "Twitter API backend: 'official', 'twitterapiio', or 'auto' (default: auto)"
  - name: X_BEARER_TOKEN
    required: false
    description: Twitter/X API bearer token for KOL monitoring (official backend)
  - name: TWITTERAPI_IO_KEY
    required: false
    description: twitterapi.io API key for KOL monitoring (twitterapiio backend)
  - name: TAVILY_API_KEY
    required: false
    description: Tavily Search API key (alternative to Brave)
  - name: WEB_SEARCH_BACKEND
    required: false
    description: "Web search backend: auto (default), brave, or tavily"
  - name: BRAVE_API_KEYS
    required: false
    description: Brave Search API keys (comma-separated for rotation)
  - name: BRAVE_API_KEY
    required: false
    description: Brave Search API key (single key fallback)
  - name: GITHUB_TOKEN
    required: false
    description: GitHub token for higher API rate limits (auto-generated from GitHub App if not set)
  - name: GH_APP_ID
    required: false
    description: GitHub App ID for automatic installation token generation
  - name: GH_APP_INSTALL_ID
    required: false
    description: GitHub App Installation ID for automatic token generation
  - name: GH_APP_KEY_FILE
    required: false
    description: Path to GitHub App private key PEM file
tools:
  - python3: Required. Runs data collection and merge scripts.
  - mail: Optional. msmtp-based mail command for email delivery (preferred).
  - gog: Optional. Gmail CLI for email delivery (fallback if mail not available).
files:
  read:
    - config/defaults/: Default source and topic configurations
    - references/: Prompt templates and output templates
    - scripts/: Python pipeline scripts
    - <workspace>/archive/tech-news-digest/: Previous digests for dedup
  write:
    - /tmp/td-*.json: Temporary pipeline intermediate outputs
    - /tmp/td-email.html: Temporary email HTML body
    - /tmp/td-digest.pdf: Generated PDF digest
    - <workspace>/archive/tech-news-digest/: Saved digest archives
---

# Tech News Digest

Automated tech news digest system with unified data source model, quality scoring pipeline, and template-based output generation.

## Quick Start

1. **Configuration Setup**: Default configs are in `config/defaults/`. Copy to workspace for customization:
   ```bash
   mkdir -p workspace/config
   cp config/d

README.md

# Tech News Digest

> Automated tech news digest — 138 sources, 5-layer pipeline, one chat message to install.

**English** | [中文](README_CN.md)

[![Tests](https://github.com/draco-agent/tech-news-digest/actions/workflows/test.yml/badge.svg)](https://github.com/draco-agent/tech-news-digest/actions/workflows/test.yml)
[![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/)
[![ClawHub](https://img.shields.io/badge/ClawHub-tech--news--digest-blueviolet)](https://clawhub.com/draco-agent/tech-news-digest)
[![MIT License](https://img.shields.io/badge/license-MIT-green.svg)](LICENSE)

## 💬 Install in One Message

Tell your [OpenClaw](https://openclaw.ai) AI assistant:

> **"Install tech-news-digest and send a daily digest to #tech-news every morning at 9am"**

That's it. Your bot handles installation, configuration, scheduling, and delivery — all through conversation.

More examples:

> 🗣️ "Set up a weekly AI digest, only LLM and AI Agent topics, deliver to Discord #ai-weekly every Monday"

> 🗣️ "Install tech-news-digest, add my RSS feeds, and send crypto news to Telegram"

> 🗣️ "Give me a tech digest right now, skip Twitter sources"

Or install via CLI:
```bash
clawhub install tech-news-digest
```

## 📊 What You Get

A quality-scored, deduplicated tech digest built from **138 sources**:

| Layer | Sources | What |
|-------|---------|------|
| 📡 RSS | 49 feeds | OpenAI, Anthropic, Ben's Bites, HN, 36氪, CoinDesk… |
| 🐦 Twitter/X | 48 KOLs | @karpathy, @VitalikButerin, @sama, @elonmusk… |
| 🔍 Web Search | 4 topics | Brave Search API with freshness filters |
| 🐙 GitHub | 28 repos | Releases from key projects (LangChain, vLLM, DeepSeek, Llama…) |
| 🗣️ Reddit | 13 subs | r/MachineLearning, r/LocalLLaMA, r/CryptoCurrency… |

### Pipeline

```
       run-pipeline.py (~30s)
              ↓
  RSS ─┐
  Twitter ─┤
  Web ─────┤── parallel fetch ──→ merge-sources.py
  GitHub ──┤
  Reddit ──┘
              ↓
  Quality Scoring → Deduplication → Topic Grouping
              ↓
    Discord / Email / PDF output
```

**Quality scoring**: priority source (+3), multi-source cross-ref (+5), recency (+2), engagement (+1), Reddit score bonus (+1/+3/+5), already reported (-5).

## ⚙️ Configuration

- `config/defaults/sources.json` — 138 built-in sources
- `config/defaults/topics.json` — 4 topics with search queries & Twitter queries
- User overrides in `workspace/config/` take priority

## 🎨 Customize Your Sources

Works out of the box with 138 built-in sources — but fully customizable. Copy the defaults to your workspace config and override:

```bash
# Copy and customize
cp config/defaults/sources.json workspace/config/tech-news-digest-sources.json
cp config/defaults/topics.json workspace/config/tech-news-digest-topics.json
```

Your overlay file **merges** with defaults:
- **Override** a source by matching its `id` — your version replaces the default
- **Add** new sources with a unique `id` — appended to the list
- **Di

_meta.json

{
  "ownerId": "kn74589cx1nbhnc3x0f3nwre39814699",
  "slug": "tech-news-digest",
  "version": "3.11.0",
  "publishedAt": 1772295728196
}

references/digest-prompt.md

# Digest Prompt Template

Replace `<...>` placeholders before use. Daily defaults shown; weekly overrides in parentheses.

## Placeholders

| Placeholder | Default | Weekly Override |
|-------------|---------|----------------|
| `<MODE>` | `daily` | `weekly` |
| `<TIME_WINDOW>` | `past 1-2 days` | `past 7 days` |
| `<FRESHNESS>` | `pd` | `pw` |
| `<RSS_HOURS>` | `48` | `168` |
| `<ITEMS_PER_SECTION>` | `3-5` | `5-8` |
| `<BLOG_PICKS_COUNT>` | `2-3` | `3-5` |
| `<EXTRA_SECTIONS>` | *(none)* | `📊 Weekly Trend Summary` |
| `<SUBJECT>` | `Daily Tech Digest - YYYY-MM-DD` | `Weekly Tech Digest - YYYY-MM-DD` |
| `<WORKSPACE>` | Your workspace path | |
| `<SKILL_DIR>` | Installed skill directory | |
| `<DISCORD_CHANNEL_ID>` | Target channel ID | |
| `<EMAIL>` | *(optional)* Recipient email | |
| `<EMAIL_FROM>` | *(optional)* e.g. `MyBot <[email protected]>` | |
| `<LANGUAGE>` | `Chinese` | |
| `<TEMPLATE>` | `discord` / `email` / `markdown` | |
| `<DATE>` | Today's date YYYY-MM-DD (caller provides) | |
| `<VERSION>` | Read from SKILL.md frontmatter | |

---

Generate the <MODE> tech digest for **<DATE>**. Use `<DATE>` as the report date — do NOT infer it.

## Configuration

Read config files (workspace overrides take priority over defaults):
1. **Sources**: `<WORKSPACE>/config/tech-news-digest-sources.json` → fallback `<SKILL_DIR>/config/defaults/sources.json`
2. **Topics**: `<WORKSPACE>/config/tech-news-digest-topics.json` → fallback `<SKILL_DIR>/config/defaults/topics.json`

## Context: Previous Report

Read the most recent file from `<WORKSPACE>/archive/tech-news-digest/` to avoid repeats and follow up on developing stories. Skip if none exists.

## Data Collection Pipeline

**Use the unified pipeline** (runs all 5 sources in parallel, ~30s):

```bash
python3 <SKILL_DIR>/scripts/run-pipeline.py \
  --defaults <SKILL_DIR>/config/defaults \
  --config <WORKSPACE>/config \
  --hours <RSS_HOURS> --freshness <FRESHNESS> \
  --archive-dir <WORKSPACE>/archive/tech-news-digest/ \
  --output /tmp/td-merged.json --verbose --force
```

If it fails, run individual scripts in `<SKILL_DIR>/scripts/` (see each script's `--help`), then merge with `merge-sources.py`.

## Report Generation

Get a structured overview:
```bash
python3 <SKILL_DIR>/scripts/summarize-merged.py --input /tmp/td-merged.json --top <ITEMS_PER_SECTION>
```

Use this output to select articles — **do NOT write ad-hoc Python to parse the JSON**. Apply the template from `<SKILL_DIR>/references/templates/<TEMPLATE>.md`.

Select articles **purely by quality_score regardless of source type**. Articles in merged JSON are already sorted by quality_score descending within each topic — respect this order. For Reddit posts, append `*[Reddit r/xxx, {{score}}↑]*`.

Each article line must include its quality score using 🔥 prefix. Format: `🔥{score} | {summary with link}`. This makes scoring transparent and helps readers identify the most important news at a glance.

### Executive Summary
2-4 sentences between t

references/templates/discord.md

# Tech Digest Discord Template

Discord-optimized format with bullet points and link suppression.

## Template Structure

```markdown
# 🚀 Tech Digest - {{DATE}}

{{#topics}}
## {{emoji}} {{label}}

{{#articles}}
• 🔥{{quality_score}} | {{title}}
  <{{link}}>
  {{#multi_source}}*[{{source_count}} sources]*{{/multi_source}}

{{/articles}}
{{/topics}}

---
📊 Data Sources: RSS {{rss_count}} | Twitter {{twitter_count}} | Reddit {{reddit_count}} | Web {{web_count}} | GitHub {{github_count}} releases | After dedup: {{merged_count}} articles
🤖 Generated by tech-news-digest v{{version}} | <https://github.com/draco-agent/tech-news-digest> | Powered by OpenClaw
```

## Delivery

- **Default: Channel** — Send to the Discord channel specified by `DISCORD_CHANNEL_ID`
- Use `message` tool with `target` set to the channel ID for channel delivery
- For DM delivery instead, set `target` to a user ID

## Discord-Specific Features

- **Link suppression**: Wrap links in `<>` to prevent embeds
- **Bullet format**: Use `•` for clean mobile display  
- **No tables**: Discord mobile doesn't handle markdown tables well
- **Emoji headers**: Visual hierarchy with topic emojis
- **Concise metadata**: Source count and multi-source indicators
- **Character limits**: Discord messages have 2000 char limit, may need splitting

## Example Output

```markdown
# 🚀 Tech Digest - 2026-02-15

## 🧠 LLM / Large Models

• 🔥15 | OpenAI releases GPT-5 with breakthrough reasoning capabilities
  <https://openai.com/blog/gpt5-announcement>
  *[3 sources]*

• 🔥12 | Meta's Llama 3.1 achieves new MMLU benchmarks
  <https://ai.meta.com/blog/llama-31-release>

## 🤖 AI Agent

• 🔥14 | LangChain launches production-ready agent framework
  <https://blog.langchain.dev/production-agents>

## 💰 Cryptocurrency

• 🔥18 | Bitcoin reaches new ATH at $67,000 amid ETF approval
  <https://coindesk.com/markets/btc-ath-etf>
  *[2 sources]*

## 📢 KOL Updates

• **Elon Musk** (@elonmusk) — Confirmed X's crypto trading feature `👁 2.1M | 💬 12.3K | 🔁 8.5K | ❤️ 49.8K`
  <https://twitter.com/elonmusk/status/123456789>
• **@saylor** — Valentine's BTC enthusiasm `👁 450K | 💬 1.2K | 🔁 3.1K | ❤️ 13K`
  <https://twitter.com/saylor/status/987654321>

---
📊 Data Sources: RSS 285 | Twitter 67 | Reddit 45 | Web 60 | GitHub 29 releases | After dedup: 95 articles
```

## Variables

- `{{DATE}}` - Report date (YYYY-MM-DD format)
- `{{topics}}` - Array of topic objects
- `{{emoji}}` - Topic emoji 
- `{{label}}` - Topic display name
- `{{articles}}` - Array of article objects per topic
- `{{title}}` - Article title (truncated if needed)
- `{{link}}` - Article URL
- `{{quality_score}}` - Article quality score (higher = more important)
- `{{multi_source}}` - Boolean, true if article from multiple sources
- `{{source_count}}` - Number of sources for this article
- `{{total_sources}}` - Total number of sources used
- `{{total_articles}}` - Total articles in digest

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